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Interactive Attention based model is prepared to analyze the sentiments of a sentence. The dataset used is the ABSA dataset

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Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
laptop_img		laptop_img
models		models
rest_imgs		rest_imgs
Laptop.ipynb		Laptop.ipynb
README.md		README.md
Restaurant.ipynb		Restaurant.ipynb
config.yaml		config.yaml
dataset_loader.py		dataset_loader.py
process_dataset.py		process_dataset.py
rest_attn.pth		rest_attn.pth
text_dataset.py		text_dataset.py
train_pred.py		train_pred.py
word_embed.py		word_embed.py

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Sentiment-Analysis-Using-Interactive-Attention-Networks

Evaluation Metrics

Attention Model

Dataset	Train Loss	Test Loss	Train Acc	Test Acc
Laptop	0.575	0.776	0.834	0.7152
Restaurant	0.498	0.674	0.881	0.781

Non Attention Model

Dataset	Train Loss	Test Loss	Train Acc	Test Acc
Laptop	0.841	0.880	0.653	0.608
Restaurant	0.789	0.747	0.652	0.719

Attention Weights

Laptop

Aspect Attn	Context Attn

Restaurant

Aspect Attn	Context Attn

Reference

https://www.ijcai.org/proceedings/2017/0568.pdf

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Interactive Attention based model is prepared to analyze the sentiments of a sentence. The dataset used is the ABSA dataset

deep-learning sentiment-analysis lstm absa interactive-attention

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